Cognition in UAV-Aided 5G and Beyond Communications: A Survey

被引:142
|
作者
Ullah, Zaib [1 ]
Al-Turjman, Fadi [2 ]
Mostarda, Leonardo [3 ]
机构
[1] Univ Camerino, Comp Sci Div, I-62032 Camerino, Italy
[2] Near East Univ, Artificial Intelligence Dept, Mersin 10, Nicosia, Turkey
[3] Univ Camerino, Dept Informat, I-62032 Camerino, Italy
关键词
Unmanned aerial vehicles (UAVs); unmanned aerial systems (UAS); 5G and B5G; UAVs standardization; channel modeling; deep reinforcement learning algorithms; energy harvesting techniques; security; regulations; RESOURCE-ALLOCATION; CIVIL APPLICATIONS; CELLULAR NETWORKS; TRAJECTORY DESIGN; OPTIMIZATION; CHALLENGES; DEPLOYMENT; SYSTEM; SOLAR; STRATEGY;
D O I
10.1109/TCCN.2020.2968311
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In recent years, unmanned aerial vehicles (UAVs) have attained significant interest in different applications including aerial surveillance, providing wireless coverage, precision agriculture, power lines & oil rigs monitoring and construction, etc. The UAVs implicit peculiarities, e.g., swift mobility, increase in payload capabilities and airborne time, place it as a potential candidate for many applications in next-generation wireless communications. In this article, a comprehensive study on UAVs challenges, potential applications, and regulations is presented. In particular, fundamental challenges such as UAVs standardization, channel modeling, interference mitigation, collision avoidance and optimal trajectory design using deep reinforcement learning (RL) algorithms, energy harvesting techniques, security, and regulations are explored in light of most recent research development. Moreover, we propose a set of UAVs regulations to ensure its steady social integration and new business opportunities. Finally, various problems and future research directions regarding UAVs are presented.
引用
收藏
页码:872 / 891
页数:20
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